Prerequisite: ECEN460 or approval of instructor. Prerequisite: ECEN651 or CSCE614 or approval of instructor. ECEN 314 - Signals and Systems. Prerequisites: Basic-level computer networks class or approval of instructor. Prerequisite: ECEN601 and ECEN646, or approval of instructor. 2 Lab Hours. Cross Listing: CYBR630/ECEN759. Director of Undergraduate Programs, Electrical & Computer Engineering. ECEN - Electrical & Comp Engr < Texas A&M Catalogs Prerequisites: Graduate classification; ECEN303 or previous undergraduate or graduate course in probability or statistics; or approval of instructor. Areas of specialization include analog and mixed-signal electronics; biomedical imaging, sensing and genomic signal processing; computer engineering and systems; device science and nanotechnology; energy and power; electromagnetics and microwaves; and information science and systems. Use of informatics approaches to establish quantitative structure-property relations (QSPRs) in materials and materials systems; basic concepts of QSPRs and probability, supervised learning, unsupervised learning, optimal prediction and applications in materials discovery. Broad overview of various probabilistic graphical models, including Bayesian networks, Markov networks, conditional random fields, and factor graphs; relevant inference and learning algorithms, as well as their application in various science and engineering problems will be introduced throughout the course. The PDF will include all pages within the Graduate and Professional Catalog. F 26 Aug. Class 2: Principles, Part 2. Electric power conditioning and control; characteristics of solid state power switches; analysis and experiments with AC power controllers, controlled rectifiers, DC choppers and DC-AC converters; applications to power supplies, airborne and spaceborne power systems. Explore all of the opportunities our department has to offer students looking to pursue a degree in electrical or computer engineering. WebScholarships & Financial Aid. WebECEN 214 Electric Circuit Theory, Spring 2022 Course information Lecture time: Spring 2022, MW 4:10-5:25pm Lecture location: ZACH 341 Lab location: ZACH 333 (Times vary, see syllabus) Instructor: Prof. Adam Birchfield, abirchfield@tamu.edu Office hours: Mondays 1-4pm, WEB 215-E, or by request ECEN640 Thin Film Science and Technology. Analysis/design of single phase, three phase rectifiers; phase control and PWM rectifiers; line harmonics; power factor; harmonic standards; passive and active correction methods; inverters; PWM methods; effect of blanking time; zero voltage switching and multilevel inverter; application of these systems in UPS and AC motor drives. StackPath Prerequisite: ECEN646. Representations and algorithms for signal processing; linear algebra, vector spaces, normed and inner product spaces; projection, orthogonalization, rank-nullity theorem; matrix representations, singular value decomposition; sampling, Fourier analysis, spectral methods; statistical signal processing and linear estimation. Entering students will be given a math placement exam. In-depth discussion of state-of-the-art fabrication and assembly techniques for micro sensors and actuators to be used in today and future's smart electronics and intelligent systems. ECEN 322 Electric and Magnetic Fields. Microwave two-terminal and three-terminal solid-state devices; waveguide and microstrip solid-state circuits; theory and design of microwave mixers, detectors, modulators, switches, phase shifters, oscillators and amplifiers. Introduction to the theory and practice of reinforcement learning; including Markov decision processes, dynamic programming, Q-Learning, policy gradient algorithms, neural networks, deep reinforcement learning, imitation learning and multi-agent learning.